Result for 080F9B696FFD9B7A1F029F5CFCE0FA2E061FFFF3

Query result

Key Value
FileName./usr/lib/python3.7/site-packages/tables/__pycache__/path.cpython-37.pyc
FileSize5263
MD5A3ECA7969A70FA9BA75C857292609514
SHA-1080F9B696FFD9B7A1F029F5CFCE0FA2E061FFFF3
SHA-25655109E2089DBCFEB8849FDC0656BBA5E7879B7CA24B3110C48382193E5E476F5
SSDEEP96:R/Q2w03TqbVQOEJTIl2+Y6Ey4XypTg5ro:Rj3Tq5E1Ia6P4Xmg5ro
TLSHT148B1963B16C1EB21EFA39BF8C05D74106710C1B70729670676CCF52A4FAAA284D3385E
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5CD08099E2E87979E271133DE4CFE7685
PackageArcharmv7hl
PackageDescriptionPyTables is a Python 3 package for managing hierarchical datasets designed to efficiently and easily cope with extremely large amounts of data. It is built on top of the HDF5 library and the NumPy package (numarray and Numeric are also supported). PyTables features an object-oriented interface and performance-critical extensions coded in C (generated using Pyrex) that make it a fast yet extremely easy-to-use tool for interactively processing and searching through very large amounts of data. PyTables also optimizes memory and disk resources so that data occupies much less space than with other solutions such as relational or object-oriented databases (especially when compression is used).
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-tables
PackageRelease4.mga7
PackageVersion3.4.4
SHA-1B8971A1A1885CED5055EDFEDBA949825CA0E7C5F
SHA-25631963E992D370B9579380839E8B9C48022D00F996F1A786FF715485E7C982DD5
Key Value
MD57C82712F3B8B661AC34AC22C657F428B
PackageArchi586
PackageDescriptionPyTables is a Python 3 package for managing hierarchical datasets designed to efficiently and easily cope with extremely large amounts of data. It is built on top of the HDF5 library and the NumPy package (numarray and Numeric are also supported). PyTables features an object-oriented interface and performance-critical extensions coded in C (generated using Pyrex) that make it a fast yet extremely easy-to-use tool for interactively processing and searching through very large amounts of data. PyTables also optimizes memory and disk resources so that data occupies much less space than with other solutions such as relational or object-oriented databases (especially when compression is used).
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-tables
PackageRelease4.mga7
PackageVersion3.4.4
SHA-1F40C9EACC6BF21CE5935FD8D332BC5CD7DD13EA0
SHA-2569834B9F93C3295644160A6B7480EC9B681D65A128A6553A25E4FCF73691120AE